Smart grid security evaluation with a big data use case
| Autor: | Seref Sagiroglu, Bilgehan Arslan, Duygu Sinanc Terzi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Complex data type
Computer science business.industry 020209 energy Smart grid security Distributed computing Big data Decision tree 02 engineering and technology Energy sector Random forest Smart grid Metric (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business |
| Zdroj: | 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018). |
| DOI: | 10.1109/cpe.2018.8372536 |
| Popis: | Technological developments in the energy sector while offering new business insights, also produces complex data. In this study, the relationship between smart grid and big data approaches have been investigated. After analyzing where the big data techniques and technologies are used in which areas of smart grid systems, the big data technologies used to detect attacks on smart grids have been focused on. Big data analytics produces efficient solutions, but it is more critical to choose which algorithm and metric. For this reason, an application prototype has been proposed using big data approaches to detect attacks on smart grids. The algorithms with high accuracy were determined as 92% with Random Forest and 87% with Decision Tree. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|